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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
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contribute to the management and conservation of the commons. Training The PhD candidate will be based at UEA, and, as such, will benefit from the Aries DTP training (e.g. summer and winter schools, ad hoc
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This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift
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accomplished team! Your personal sphere of influence: We are looking for a PhD student to join the Environmental Psychology Group who is interested in research addressing one or more of the current ecological
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We are delighted to announce the availability of 34 fully-funded studentships across the ESRC-accredited South West Doctoral Training Partnership (SWDTP). The SWDTP draws together the Universities of Bath, Bristol, Exeter, Plymouth, West of England, Bath Spa, Bournemouth and Plymouth Marjon....
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of the overall efficiency of the system. Their degradation behaviour in different fuels (hydrogen, ammonia or bio-fuels) is yet to be understood. This PhD project aims to investigate the effect
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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secondments to the project’s industry supporter, Fera Science (Sand Hutton, York), where you will have access to complementary instrumentation and expertise within the Food Authenticity team. During your PhD
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Duration of Studentship: Full-time – 3 Years Start Date: 1 October 2025 Application Deadline: 29 August 2025 Primary Supervisor: Professor Peter Munro (p.munro@ucl.ac.uk ) Secondary Supervisor: Professor Marinko Sarunic Project Description: Optical coherence tomography (OCT) is widely used...
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience